activity
20232025
most citedInter-Domain Mixup for Semi-Supervised Domain Adaptation

32 citations · 54 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction

Ganlong Zhao, Guanbin Li, Jia Pan +1

Aerial Vision-and-Language Navigation (Aerial VLN) aims to obtain an unmanned aerial vehicle agent to navigate aerial 3D environments following human instruction. Compared to groun…

cs.CV20241 cited

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation

Ganlong Zhao, Guanbin Li, Weikai Chen +1

Recent advances in Iterative Vision-and-Language Navigation (IVLN) introduce a more meaningful and practical paradigm of VLN by maintaining the agent's memory across tours of scene…

cs.CV202432 cited

Inter-Domain Mixup for Semi-Supervised Domain Adaptation

Jichang Li, Guanbin Li, Yizhou Yu

Semi-supervised domain adaptation (SSDA) aims to bridge source and target domain distributions, with a small number of target labels available, achieving better classification perf…

cs.CV202421 cited

Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation

Jichang Li, Guanbin Li, Yizhou Yu

Compared to unsupervised domain adaptation, semi-supervised domain adaptation (SSDA) aims to significantly improve the classification performance and generalization capability of t…

cs.CV2023

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

Jichang Li, Guanbin Li, Hui Cheng +2

Federated learning with noisy labels (F-LNL) aims at seeking an optimal server model via collaborative distributed learning by aggregating multiple client models trained with local…